一种减小互耦的互素嵌套阵列及测向算法
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1.铜仁学院 大数据学院 铜仁;2.重庆大学 空天地网络互联与信息融合重庆市重点实验室 重庆;3.铜仁学院

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TN 957

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国家自然科学基金(51877015, U1831117) ; 贵州省科技厅联合基金(LH [2017]7320, LH [2017]7321);贵州省教育厅科技拔尖人才项目(KY [2018]075) ;贵州省教育厅重大项目(KY [2016]051)


A co-prime nested array for reducing mutual coupling and DOA estimation algorithm
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1.School of data science,Tongren University;2.Chongqing Key Laboratory of Space Information Network Intelligent Information Fusion;3.Tongren University

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    摘要:

    为了最大限度地减小阵元之间的互耦效应,首先提出一种阵元间距可调节的互素嵌套阵列。这种阵列由两个具有不同间距的嵌套阵列组成,两个子阵的最小单位间距由任意一对互素的正整数确定。只要这对正整数足够大,两个子阵的最小单位间距都可以远超过入射信号的半个波长,从而将阵元间的互耦效应减小到可忽略的程度。然后,为了解决大间距阵列所引起的角度模糊问题,利用阵列接收数据的四阶累积量,提出了一种无模糊的波达方向 (DOA,direction of arrival)估计算法。仿真实验表明此算法具有较好的估计性能,相比一些经典的解耦算法,此算法具有更高的角度分辨力和估计精确度。

    Abstract:

    In order to minimize the mutual coupling between sensors, a kind of co-prime nested array with adjustable element spacing is proposed. The proposed array consists of two nested arrays with different element spacing and the smallest unit intervals of two sub-arrays are determined by any two co-prime positive integers. As long as the positive integers is enough big, the smallest unit intervals of each sub-array can be far more than half -wavelength of incident signal. Hence, the mutual coupling effect between sensors can be reduced to a negligible level. Then, in order to eliminate the direction ambiguity caused by large element spacing, by using the fourth-order cumulants of received data, a direction of arrival (DOA) estimation algorithm without direction ambiguity is proposed. Compared with some classical self-correcting decoupling methods, the proposed algorithm has a higher angle resolution and estimation. Simulation results can prove the improved performance of proposed algorithm.

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历史
  • 收稿日期:2020-02-25
  • 最后修改日期:2020-03-24
  • 录用日期:2020-04-07
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